Baselines:  We compare our proposed approach with iMAML under different settings where iMAML-\(X\) -\(Y\)  denotes running \(X\)  global SGD iterations to update the meta-model according to (REF ), and for each global iteration, each agent (task) runs \(Y\)  local SGD iterations to approximate the solution of the inner problem. For iMAML, we approximate the matrix inversion indicated in (REF ) using the same method described in [1]} which involves \(k\)  conjugate gradient (CG) steps where we choose \(k=5\)  and \(\lambda = 2\)  as in [1]}.
